Mehr zum Buch
Variational systems, an introduction.- Extension of the class of Markov controls.- Limit laws for multifunctions applied to an optimization problem.- Variational properties of EPI-convergence, applications to limit analysis problems in mechanics and duality theory.- Slow and heavy viable trajectories of controlled problems. Smooth viability domains.- A new class of evolution equation in a Hilbert space.- A fixed point theorem for subsets of L1.- Modelling sets.- On a definition of ?-convergence of measures.- Strong laws of large numbers for multivalued random variables.- Approaches to weak convergence.- Critical points and evolution equations.- Decomposability as a substitute for convexity.- Multifunctions associated with parameterized classes of constrained optimization problems.- Continuity of measurable convex multifunctions.- Some bang-bang theorems.
Buchkauf
Multifunctions and Integrands, A. Dold, B. Eckmann, Gabriella Salinetti
- Sprache
- Erscheinungsdatum
- 1984
- Einband
- (Paperback),
- Buchzustand
- Beschädigt
- Preis
- € 18,89
Keiner hat bisher bewertet.
- Untertitel
- Stochastic Analysis, Approximation, And Optimization. Proceedings Of A Conference Held In Catania, Italy, June 1983
- Sprache
- Englisch
- Autor*innen
- A. Dold, B. Eckmann, Gabriella Salinetti
- Verlag
- Springer
- Erscheinungsdatum
- 1984
- Einband
- Paperback
- Seitenzahl
- 248
- ISBN10
- 354013882X
- ISBN13
- 9783540138822
- Reihe
- Schlagwörter
- Wissenschaft, Fachliteratur, Statistik, Optimierung
- Beschreibung
- Variational systems, an introduction.- Extension of the class of Markov controls.- Limit laws for multifunctions applied to an optimization problem.- Variational properties of EPI-convergence, applications to limit analysis problems in mechanics and duality theory.- Slow and heavy viable trajectories of controlled problems. Smooth viability domains.- A new class of evolution equation in a Hilbert space.- A fixed point theorem for subsets of L1.- Modelling sets.- On a definition of ?-convergence of measures.- Strong laws of large numbers for multivalued random variables.- Approaches to weak convergence.- Critical points and evolution equations.- Decomposability as a substitute for convexity.- Multifunctions associated with parameterized classes of constrained optimization problems.- Continuity of measurable convex multifunctions.- Some bang-bang theorems.